Real-Time Biosensor Platform Based on Novel Sandwich Graphdiyne for Ultrasensitive Detection of Tumor Marker

Jing Xu, Yinbing Liu, Ke-Jing Huang, Yang-Yang Hou, Xiaoxuan Sun, Jiaqiang Li

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

Realization of a highly sensitive analysis and sensing platform is important for early-stage tumor diagnosis. In this work, a self-powered biosensor with a novel sandwich graphdiyne (SGDY) combined with an aptamer-specific recognition function was developed to sensitively and accurately detect tumor markers. Results indicated that the detection limits of microRNA (miRNA)-21 and miRNA-141 were 0.15 and 0.30 fM (S/N = 3) in the linear range of 0.05–10000 and 1–10000 fM, respectively. The newly designed platform has great promise for early-stage tumor diagnosis.
Original languageEnglish (US)
JournalAnalytical Chemistry
DOIs
StatePublished - Nov 29 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-12-01
Acknowledgements: The authors acknowledge financial support from the Talent Introduction Start-Up Foundation of Guangxi Minzu University (2021KJQD08), Natural Science Foundation of China (No. 22074130). The authors acknowledge the support from the Analysis Testing Center of Xinyang Normal University for the materials characterization.

ASJC Scopus subject areas

  • Analytical Chemistry

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